Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/90124
Title: Self-tuning PID controllers based on the Lyapunov approach
Authors: Kansha, Y.
Jia, L.
Chiu, M.-S. 
Keywords: Just-in-time learning
Lyapunov method
PID controller
Issue Date: May-2008
Citation: Kansha, Y., Jia, L., Chiu, M.-S. (2008-05). Self-tuning PID controllers based on the Lyapunov approach. Chemical Engineering Science 63 (10) : 2732-2740. ScholarBank@NUS Repository.
Abstract: In this paper, a self-tuning PID controller using just-in-time learning (JITL) technique is proposed. A set of linear models obtained by the JITL provides the information required to adjust the parameters of PID controller. The self-tuning algorithm for the PID parameters is derived by a rigorous analysis based on the Lyapunov method such that the JITL's predicted tracking error converges asymptotically. Simulation results are presented to illustrate the proposed self-tuning PID controller and a comparison with its conventional counterparts is made. © 2008 Elsevier Ltd. All rights reserved.
Source Title: Chemical Engineering Science
URI: http://scholarbank.nus.edu.sg/handle/10635/90124
ISSN: 00092509
Appears in Collections:Staff Publications

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